Evidence map›Paper›PMID 35954351›Full record

ArticleCancers2022

Clinical Impact of Dual Time Point

Takahiro Einama, Yoji Yamagishi, Yasuhiro Takihata, Fukumi Konno, Kazuki Kobayashi, Naoto Yonamine, Ibuki Fujinuma, Takazumi Tsunenari, Keita Kouzu, Akiko Nakazawa and 5 more

Open access · goldAbstract read
In one paragraph

Article in Cancers, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.3field-weighted citation impact, top 18% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed, 12 citations in OpenAlex.

  1. Review
  2. Dual-time-point [EJNMMI research · 2026
    Article
  3. Review
  4. Article
  5. Article
  6. Comparison of early and lateScientific reports · 2023
    Article
  7. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

15 authors at 2 institutions in 1 country.

Takahiro EinamaDepartment of Surgery, National Defense Medical College, Saitama 359-8513, Japan.
Yoji YamagishiDepartment of Surgery, National Defense Medical College, Saitama 359-8513, Japan.
Yasuhiro TakihataDepartment of Surgery, National Defense Medical College, Saitama 359-8513, Japan.
Fukumi KonnoDepartment of Surgery, National Defense Medical College, Saitama 359-8513, Japan.
Kazuki KobayashiDepartment of Surgery, National Defense Medical College, Saitama 359-8513, Japan.
Naoto YonamineDepartment of Surgery, National Defense Medical College, Saitama 359-8513, Japan.
Ibuki FujinumaDepartment of Surgery, National Defense Medical College, Saitama 359-8513, Japan.
Takazumi TsunenariDepartment of Surgery, National Defense Medical College, Saitama 359-8513, Japan.
Keita KouzuDepartment of Surgery, National Defense Medical College, Saitama 359-8513, Japan.
Akiko NakazawaDepartment of Surgery, National Defense Medical College, Saitama 359-8513, Japan.
Toshimitsu IwasakiDepartment of Surgery, National Defense Medical College, Saitama 359-8513, Japan.
Eiji ShintoDepartment of Surgery, National Defense Medical College, Saitama 359-8513, Japan.
Jiro IshidaTokorozawa PET Diagnostic Imaging Clinic, Saitama 359-1124, Japan.
Hideki UenoDepartment of Surgery, National Defense Medical College, Saitama 359-8513, Japan.
Yoji KishiDepartment of Surgery, National Defense Medical College, Saitama 359-8513, Japan.ORCID 0000-0001-8885-1210
National Defense Medical College · JPJapan Small Animal Medical Center · JP

Funding

Japan Society for the Promotion of Science JP 18K15295
6 · The paper itself

Abstract

We examined the value of preoperative dual time point (DTP) 18F-fluorodeoxyglucose positron emission tomography/computed tomography fusion imaging (FDG PET/CT) as a predictor of early recurrence or the outcomes in patients with pancreatic cancer. Standardized uptake values (SUVs) in DTP FDG PET/CT were performed as preoperative staging. SUVmax1 and SUVmax2 were obtained in 60 min and 120 min, respectively. ΔSUVmax% was defined as (SUVmax2 − SUVmax1)/SUVmax1 × 100. The optimal cut-off values for SUVmax parameters were selected based on tumor relapse within 1 year of surgery. Optimal cut-off values for SUVmax1 and ΔSUVmax% were 7.18 and 24.25, respectively. The combination of SUVmax1 and ΔSUVmax% showed higher specificity and sensitivity, and higher positive and negative predictive values for tumor relapse within 1 year than SUVmax1 alone. Relapse-free survival (RFS) was significantly worse in the subgroups of high SUVmax1 and high ΔSUVmax% (median 7.0 months) than in the other subgroups (p < 0.0001). The multivariate Cox analysis of RFS identified high SUVmax1 and high ΔSUVmax% as independent prognostic factors (p = 0.0060). DTP FDG PET/CT may effectively predict relapse in patients with pancreatic cancer. The combination of SUVmax1 and ΔSUVmax% identified early recurrent patient groups more precisely than SUVmax1 alone.

Indexed as

dual time point PET/CTpancreatic cancerSUVmax1SUVmax2ΔSUVmax%

Identifiers

PMID35954351
PMCPMC9367454
OpenAlexW4288437757

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.